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Science System and Applications Incorporated (SSAI) is seeking a Senior Research Scientist to support the USDA Agricultural Research Service (ARS) in Beltsville, MD. Experience in the retrieval of in-situ and remote sensing data, and integration with crop and soil models and online digital repositories of climate and soil data.
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Land IQ, LLC is seeking a Remote Sensing Scientist in its Sacramento, California office with a specialization in data driven analytics and algorithm development with digital images for agricultural and other land use applications (crop classification, yield modeling, land use impacts, land use change, etc.
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EDUCATION REQUIREMENT: A. Education: Bachelor's degree from an accredited college or university in Engineering, Imagery Science, Mathematics, Physical Science, Remote Sensing, Geography, Computer Science, Data Analytics, or a related discipline that included 24 semester hours in Physical Science and/or related Engineering Science such as Dynamics, Electronics, Mechanics, and Properties of Materials.
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Our areas of expertise include remote sensing, geospatial analysis, GIS, soil science, water quality and demand evaluation, agricultural systems, salinity and nutrient management, ecosystem restoration, statistics, and regulatory policy.
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Experience with Python language and development environment OR multiple other programming languages such as C#, R, Java; knowledge of ArcPro or ArcMap; experience with computer vision or natural language processing suites/models; experience with cloud services (AWS or Azure) and in areas of Geospatial Information Science (cartography, geodesy, photogrammetry, geophysics, and remote sensing.
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Location : Remote, US. What you'll do: Utilize data science techniques to analyze and assess the maturity of data taxonomy processes, target systems, and reliant systems. About the role: Gen3 is currently seeking a talented Data Scientist to join our team, dedicated to supporting the Internal Revenue Service (IRS) on the ISSM Vulnerability Compliance and Remediation Program.
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Required Degree Doctorate -Biomedical Sciences Minimum Requirements PhD in a Biomedical Science field with 8-10 years research experience relevant to nanoparticle formulation, testing, in vitro and in vivo applications, experiment design and execution, and data analysis.
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The successful Remote Sensing Scientist candidate will be responsible for working with our growing geospatial team comprised of remote sensing/GIS experts and a range of agronomic, environmental, and other land-based science disciplines.
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BS/MS Remote Sensing/Geography/Data Sciences field (advanced degree preferred) Proficient at remote sensing modeling (e.g., data cleaning, feature selection, analysis, designing, building, and model assessment.
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Extensive experience working on strategy or full-life cycle data science with tech/programming languages such as Python, R, git, DBT, Databricks/Snowflake. Capable of tailoring complex messages into simplified and business applicable material for key stakeholders and senior data science management.
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Candidate will be responsible for working with our growing geospatial team comprised of remote sensing/GIS experts and a range of agronomic, environmental, and other land-based science disciplines.
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Title: Data Scientist- Remote. computer science, electrical, electronic engineering, java, machine learning, schematic. Keywords - data modeling, SQL, Python, R, tableau, the keywords for an ideal candidate they would like to see in a resume.
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The Senior Data Scientist will be responsible for the development and implementation of predictive modeling algorithms and techniques to solve complex business problems and optimize member experiences.
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Remote sensing-based land cover mapping over agricultural areas and crop classification; Applicants must have strong analytical, remote sensing and GIS skills and an exceptionally strong understanding of machine learning algorithms.
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Develop and implement remote sensing and statistical methodologies to perform land use and land cover classification (crop classification) Work in a team environment on a wide range of projects, supporting our team of scientists, remote sensing analysts, and GIS analysts.
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